Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/51905
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tohidi, Faranak | en |
dc.contributor.author | Paul, Manoranjan | en |
dc.contributor.author | Hooshmandasl, Mohammad Reza | en |
dc.contributor.author | Chakraborty, Subrata | en |
dc.contributor.author | Pradhan, Biswajeet | en |
local.source.editor | Editor(s): Joel Janek Dabrowski, Ashfaqur Rahman and Manoranjan Paul | en |
dc.date.accessioned | 2022-05-03T03:50:12Z | - |
dc.date.available | 2022-05-03T03:50:12Z | - |
dc.date.issued | 2020 | - |
dc.identifier.citation | Image and Video Technology: PSIVT 2019, p. 86-99 | en |
dc.identifier.isbn | 9783030397708 | en |
dc.identifier.isbn | 9783030397692 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/51905 | - |
dc.description.abstract | <p>Digital images are used to transfer most critical data in areas like medical, research, business, military, etc. The images transfer takes place over an unsecured Internet network. Therefore, there is a need for reliable security and protection for these sensitive images. Medical images play an important role in the field of Telemedicine and Tele surgery. Thus, before making any diagnostic decisions and treatments, the authenticity and the integrity of the received medical images need to be verified to avoid misdiagnosis. This paper proposes a block-wise and blind fragile watermarking mechanism for medical image authentication and recovery. By eliminating embedded insignificant data and considering different content complexity for each block during feature extraction and recovery, the capacity of data embedding without loss of quality is increased. This new embedding watermark method can embed a copy of the compressed image inside itself as a watermark to increase the recovered image quality. In our proposed hybrid scheme, the block features are utilized to improve the efficiency of data concealing for authentication and reduce tampering. Therefore, the scheme can achieve better results in terms of the recovered image quality and greater tampering protection, compared with the current schemes.</p> | en |
dc.language | en | en |
dc.publisher | Springer | en |
dc.relation.ispartof | Image and Video Technology: PSIVT 2019 | en |
dc.relation.ispartofseries | Lecture Notes in Computer Science | en |
dc.title | Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity | en |
dc.type | Conference Publication | en |
dc.relation.conference | PSIVT 2019: 9th Pacific-Rim Symposium on Image and Video Technology Workshops | en |
dc.identifier.doi | 10.1007/978-3-030-39770-8_7 | en |
local.contributor.firstname | Faranak | en |
local.contributor.firstname | Manoranjan | en |
local.contributor.firstname | Mohammad Reza | en |
local.contributor.firstname | Subrata | en |
local.contributor.firstname | Biswajeet | en |
local.profile.school | School of Science and Technology | en |
local.profile.email | schakra3@une.edu.au | en |
local.output.category | E1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.date.conference | 18th - 22nd November, 2019 | en |
local.conference.place | Sydney, Australia | en |
local.publisher.place | Cham, Switzerland | en |
local.format.startpage | 86 | en |
local.format.endpage | 99 | en |
local.identifier.scopusid | 85080866893 | en |
local.series.issn | 1611-3349 | en |
local.series.issn | 0302-9743 | en |
local.series.number | 11994 | en |
local.peerreviewed | Yes | en |
local.contributor.lastname | Tohidi | en |
local.contributor.lastname | Paul | en |
local.contributor.lastname | Hooshmandasl | en |
local.contributor.lastname | Chakraborty | en |
local.contributor.lastname | Pradhan | en |
local.seriespublisher | Springer | en |
local.seriespublisher.place | Cham, Switzerland | en |
dc.identifier.staff | une-id:schakra3 | en |
local.profile.orcid | 0000-0002-0102-5424 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/51905 | en |
local.date.onlineversion | 2020-01-27 | - |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Block-Wise Authentication and Recovery Scheme for Medical Images Focusing on Content Complexity | en |
local.output.categorydescription | E1 Refereed Scholarly Conference Publication | en |
local.relation.url | http://www.psivt.org/psivt2019/program.html | en |
local.conference.details | PSIVT 2019: 9th Pacific-Rim Symposium on Image and Video Technology Workshops, Sydney, Australia, 18th - 22nd November, 2019 | en |
local.search.author | Tohidi, Faranak | en |
local.search.author | Paul, Manoranjan | en |
local.search.author | Hooshmandasl, Mohammad Reza | en |
local.search.author | Chakraborty, Subrata | en |
local.search.author | Pradhan, Biswajeet | en |
local.uneassociation | No | en |
dc.date.presented | 2019-11-20 | - |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.year.available | 2020 | en |
local.year.published | 2020 | en |
local.year.presented | 2019 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/1eefdabd-c472-407b-a451-b028c5f6704e | en |
local.subject.for2020 | 460102 Applications in health | en |
local.subject.for2020 | 461103 Deep learning | en |
local.subject.for2020 | 460308 Pattern recognition | en |
local.subject.seo2020 | 209999 Other health not elsewhere classified | en |
local.subject.seo2020 | 280115 Expanding knowledge in the information and computing sciences | en |
local.date.start | 2019-11-18 | - |
local.date.end | 2019-11-22 | - |
Appears in Collections: | Conference Publication School of Science and Technology |
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